Network threat assessment based on attribute recognition

Network threat assessment is an important branch of information security assessment. Its research involves data fusion and data mining. This paper provided an overview of related research efforts in the area of network threat assessment. It presented a network threat assessment framework, and demonstrated a computational approach based on attribute recognition theory. In the computational example, entropy value method is used to determine the index weight. The example´s result indicates that attribute recognition theory is simple, practical and able to evaluate network threats effectively.